KnowCTI: Knowledge-based cyber threat intelligence entity and relation extraction
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CyberNER-LLM, KnowCTI, and segment-level CTI NER frameworks extract entities and relations from unstructured threat reports with accuracies up to 98% on cybercrime-forum corpora.
“CyberNER-LLM [29], KnowCTI [30], and segment-level CTI NER frameworks [31] extract entities and relations from unstructured threat reports with accuracies up to 98% on cybercrime-forum corpora.”
From Agentic AI and Large Language Models for Autonomous IoT Cybersecurity: A Systematic Survey, Taxonomy, and Research Roadmap (2026) · cites this paper as [30]
Cites
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
Ji, S., Pan, S., Cambria, E., Marttinen, P., & Yu, P. S. (2022) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2021.3070843 · Cited by 2,947 · see citing works
K-BERT: Enabling Language Representation with Knowledge Graph
Liu, W., Zhou, P., Zhao, Z., Wang, Z., Ju, Q., Deng, H., & Wang, P. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v34i03.5681 · Cited by 797 · see citing works
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CyberNER-LLM: Cyber Threat Intelligence Named Entity Recognition With Large Language Model
Liu, X., Lin, W., & Ding, Z. (2026) · Lecture Notes in Computer Science · doi:10.1007/978-981-95-3543-9_28 · Cited by 4 · see citing works
Nageshwaran, V., & Ezekiel, S. (2026) · Electronics · doi:10.3390/electronics15122740 · Cited by 4 · see citing works
“CyberNER-LLM [29], KnowCTI [30], and segment-level CTI NER frameworks [31] extract entities and relations from unstructured threat reports with accuracies up to 98% on cybercrime-forum corpora.”
- Authors
- Wang, G., Liu, P., Huang, J., Bin, H., Wang, X., & Zhu, H.
- Affiliations
- Chinese Academy of Sciences (CN)
- Corresponding author
- Wang, Xi
- Venue
- Computers & Security
- Publisher
- Elsevier BV
- Published
- 2024-06
- Volume
- 141
- Pages
- 103824
- ISSN
- 0167-4048 (ISSN-L)
- OpenAlex
- W4393253320
- Cited by
- 47
- References
- 2
- Citations by year
- 2026: 23 · 2025: 21 · 2024: 3
- FWCI
- 6.94
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Computers & Security (publishedVersion)
- SSRN Electronic Journal (acceptedVersion)
- Funders
- National Natural Science Foundation of China (61931019)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
- Physical Sciences › Computer Science › Artificial Intelligence › Semantic Web and Ontologies
- Keywords
- cyber threat intelligence, named entity recognition, relation extraction, knowledge base, knowledge embedding, graph attention networks, attention mechanism, gate mechanism, cybersecurity knowledge
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